Abstract: An image decoding method according to the present document may comprise the steps of: deriving an inter prediction mode from encoded information; configuring reference picture lists, deriving motion information comprising reference picture indexes for symmetric motion vector differences (SMVD); and generating prediction samples on the basis of the motion information, wherein the reference picture indexes for SMVD can be derived on the basis of short-term reference pictures included within the reference picture lists.

Abstract: In an example, a digital image comprising a representation of multiple physical objects is received at a client computer. The digital image is copied into a temporary canvas. The digital image is then analyzed to identify a plurality of potential object areas, each of the potential object areas having pixels with colors similar to the other pixels within the potential object area. A minimum bounding region for each of the identified potential object areas is identified, the minimum bounding region being a smallest region of a particular shape that bounds the corresponding potential object area. The pixels within a selected minimum bounding region are cropped from the digital image. The pixels within the selected minimum bounding region are then sent to an object recognition service on a server to identify an object represented by the pixels within the selected minimum bounding region.

Abstract: Systems and methods for providing a framework for predicting future frames using diverse sampling are provided. In one embodiment, a method for predicting future frames includes receiving a video having a first frame from a first time and a second frame from a second time. The first frame and the second frame are represented in image space. The method also includes updating a prediction model based on the video. The method further includes determining whether a stopping condition is satisfied. In response to determining that the stopping condition has been satisfied, the method includes generating a plurality of future frames for a third time after the second time. The plurality of future frames is generated based on a normalized distance metric that preserves distance of samples in the latent space to the image space. The method yet further includes selecting a candidate frame from the plurality of future frames.

Abstract: An endoscopic task supporting system including: an image storage that stores a plurality of endoscopic images acquired in a time series; a three-dimensional data generation unit that generates three-dimensional data indicating a three-dimensional shape of a predetermined part subject to observation, based on the plurality of endoscopic images stored in the image storage; a two-dimensional image generation unit that generates, from the three-dimensional data generated by the three-dimensional data generation unit, a two-dimensional image corresponding to a viewpoint position and a direction of line of sight entered; and a display control unit that causes a predetermined display unit to display the two-dimensional image generated by the two-dimensional image generation unit.

Abstract: Device, systems, and/or techniques for using sub-channel signaling information between an access point and a first station are disclosed. An uplink trigger sent from the access point to the first station may be received. A map may be transmitted from the first station indicating at least one sub-channel that is available for spatial sharing by a second station. The first station may receive an acknowledgement from the access point that data was transmitted from the second station on the at least one sub-channel and/or received by the at least one access point. An OFDMA transmission having a sub-channel/sub-band available for transmitting data may be determined. An energy in the sub-channel/sub-band may be measured and/or compared to a dynamic and/or static threshold. Whether a sub-channel/sub-band is free or busy may be determined for example based on if the measured energy is, or is not, greater than the threshold.

Abstract: An image decoding method according to the present document may comprise the steps of: deriving an inter prediction mode from encoded information; configuring reference picture lists, deriving motion information comprising reference picture indexes for symmetric motion vector differences (SMVD); and generating prediction samples on the basis of the motion information, wherein the reference picture indexes for SMVD can be derived on the basis of short-term reference pictures included within the reference picture lists.

Abstract: A set of reconstruction elements useable to reconstruct a representation of a signal at a relatively high level of quality using data based on a representation of the signal at a relatively low level of quality is obtained. The representation at the relatively high level of quality is arranged as an array comprising at least first and second rows of signal elements. A reconstruction element is associated with a respective signal element in the set. A set of data elements is derived based on the set of reconstruction elements. At least one of the data elements is derived from at least two reconstruction elements associated with signal elements from the first row and a different number of reconstruction elements associated with signal elements from the second row.

Abstract: There is provided a medical endoscope device including: an encoding processing unit configured to compression-encode RAW image data of a medical captured image of an observation target captured by an imaging device that is inserted into a body of a patient and captures an image of an inside of the body; and a transmission unit configured to wirelessly transmit the compression-encoded RAW image data.

Abstract: Methods and apparatus for compressing data streams. In an embodiment, a method includes calculating a probability distribution function (PDF) for scaler data, matching the PDF to PDF templates to determine a closest matching PDF template, and selecting an encoder corresponding to the closest matching PDF template wherein a corresponding encoder identifier is determined. The method also includes encoding the scaler data with the encoder to generate an encoded stream, and transmitting the encoded stream and the encoder identifier.

Abstract: The present disclosure discloses a video interface conversion device that includes a first and a second interface transmission circuit, a color conversion circuit and an image compression circuit. The first and the second interface transmission circuit are respectively electrically coupled to an image source and a display terminal. The second interface transmission circuit negotiates a maximum output bandwidth with the display terminal such that the first interface transmission circuit compares an input data bandwidth of a data signal received from the image source and the maximum output bandwidth. When the maximum output bandwidth is smaller than the input data bandwidth, an image compression and/or a color coding conversion is performed on the data signal, and the data signal having the processed input data bandwidth being smaller than or equal to the maximum output bandwidth is further transmitted by the second interface transmission circuit to the display terminal.

Abstract: A method determines a degree of compatibility of a web content with a vehicle display device. The method includes steps of: (a) the compatibility-determining server generating a specific render tree by referring to specific web content information; (b) the compatibility-determining server determining whether the specific web page is compatible with the vehicle display device according to a verifying scenario, wherein the verifying scenario is configured as a predetermined program by referring to at least part of (i) at least one first component included in the specific render tree and (ii) at least one second component included in the specific specification information; and (c) in response to determining that the specific web page is compatible, the compatibility-determining server performing or supporting another device to perform a process of displaying the specific web page on a display of the vehicle display device.

Abstract: In an example, a digital image comprising a representation of multiple physical objects is received at a client computer. The digital image is copied into a temporary canvas. The digital image is then analyzed to identify a plurality of potential object areas, each of the potential object areas having pixels with colors similar to the other pixels within the potential object area. A minimum bounding region for each of the identified potential object areas is identified, the minimum bounding region being a smallest region of a particular shape that bounds the corresponding potential object area. The pixels within a selected minimum bounding region are cropped from the digital image. The pixels within the selected minimum bounding region are then sent to an object recognition service on a server to identify an object represented by the pixels within the selected minimum bounding region.

Abstract: An image decoding method according to the present document may comprise the steps of: deriving an inter prediction mode from encoded information; configuring reference picture lists, deriving motion information comprising reference picture indexes for symmetric motion vector differences (SMVD); and generating prediction samples on the basis of the motion information, wherein the reference picture indexes for SMVD can be derived on the basis of short-term reference pictures included within the reference picture lists.

Abstract: An image processing device having a processor coupled to a memory. The processor is programmed to process two or more media formats stored in the memory, each media format is made up of one or more digital image layers that includes non-transparent pixels and may include transparent pixels. The processor is programmed to: set the non-transparent pixels in each of the digital image layer of the two or more media formats to a contrast state, set pixels stored in an off-screen data buffer of the memory to pixels corresponding to a predetermined color scheme, apply an image function to each media format that is drawn to the off-screen data buffer so as to allow the plurality of overlapping media formats to be displayed on the display screen as see through.

Abstract: A method of compressing image data representing one or more images, the method including obtaining pixel data from the image data, the pixel data representing an pixel array within the one or more images, applying a transformation to the pixel data to determine a set of frequency coefficients indicative of frequency coefficients of the pixel array, encoding a selected subset of the set of frequency coefficients, generating an index indicative of the encoded frequency coefficients and generating compressed image data using the encoded frequency coefficients and the index.

Abstract: Methods and systems for improving encoding of a picture or a frame are disclosed. According to one embodiment, a method for encoding video frames includes receiving for a frame, several binarized symbols that include a number of bins corresponding to one or more contexts. For each context from one or more contexts, the method includes entropy encoding in a first pass bins associated with the context using an initial probability distribution for the context; generating counts of zeros and ones in a set of bins associated with the context; updating the initial probability distribution using the respective counts of zeros and ones, to obtain an updated probability distribution; and entropy encoding in a second pass the bins associated with the context using the updated probability distribution, to provide at least a part of an encoded bitstream.

Abstract: A method for steganographic processing and compression of image data with negligible information loss, wherein said image data comprises noise and information. The method includes the steps of: acquiring image data to be processed and/or compressed, storing and/or transmitting the image data, and preparing the acquired image data for compression. The preparation step includes determining an input noise model and corresponding parameters adapted to reflect noise created by an image sensor used to capture said image data, and removing, with negligible information loss, noise from the acquired image data by use of the input noise model such as to produce noise-reduced image data.

Abstract: A method includes: receiving an image in a system; identifying, using the system, a portion of the received image that is semantically relevant; and compressing, using the system, the received image based on the identified portion.

Abstract: Regions based on which an interpolation method of a fractional-accuracy pixel is switched are optimized, and the interpolation method is switched for each of the divided regions, thereby reducing residual energy of inter-frame prediction with motion compensation.

Abstract: A method includes receiving, at a processor, a first data stream from a first platform and a second data stream from a second platform. The first data stream includes content and the second data stream includes the content. The method also includes performing an analysis operation on the first data stream and the second data stream to interpret the content. Performing the analysis operation includes performing a statistical analysis on the first data stream and the second data stream using one or more Artificial Neural Network (ANN) nodes of an analytical network. Performing the analysis operation also includes performing a syntactic analysis on the first data stream and the second data stream using one or more Markov Logic Network (MLN) nodes of the analytical network.

Abstract: An image compression device includes: a first encoder that encodes a target block included in a segment in a first encoding mode; a second encoder that encodes the target block in a second encoding mode using a fixed-length coding to obtain a second encoded data; a calculator that calculates an accumulated amount of the first encoded data of the blocks; a selector that selects an encoding mode to be used to encode the target block from among the first encoding mode and the second encoding mode; and a determiner that determines whether to encode encoding mode information according to a predetermined condition. The selector selects the second encoding mode if a sum of an accumulated amount and an amount of the second encoded data of all remaining blocks in a segment exceeds a target value.

Abstract: A video transmission system includes a transceiver module that transmits a video signal to a remote device over at least one communications channel wherein the video signal is transmitted as at least one separate video layer stream chosen from, an independent video layer stream and at least one dependent video layer streams that require the independent video layer for decoding. A control module determines at least one channel characteristic of the at least one channel and chooses the at least one separate video layer stream based on the at least one channel characteristic of the at least one channel.

Abstract: A method for encoding pictures within a groups of pictures using prediction, where a first reference picture from a group of pictures and a second reference pictures from the subsequent group of pictures are used in predicting pictures in the group of pictures associated with the first reference picture. A plurality of anchor pictures in the group of pictures associated with the first reference picture may be predicted using both the first and second reference pictures to ensure a smooth transition between different groups of pictures within a video frame.

Abstract: A business method for using computer image processing for selectable task-based digital video compression is described. The method is intended to reduce travel of experts and let these experts direct field agents in performing tasks remotely. The tasks to be performed in the remote field can be monitoring, manipulating, and navigating. A field agent performs the manipulation and navigation operations, this agent can be a human being or a robot. The task-based compression algorithms use computer vision techniques to extract the bare minimum amount of information from the remote field scenery to allow the task to be performed. High frame rate photo-realistic reconstruction of the remote scene is not generally necessary.